基于AHP的医疗旅游地评价与选择
Evaluation and selection of Medical Tourism sites: A rough AHP based MABAC approach
摘要：
本文提出了一种新的多准则决策（MCDM）方法，用于在不确定环境中对医疗旅游目的地进行评价和排序。提出了一种基于粗糙数的层次分析法（AHP）和基于粗糙数的多属性边界近似区域比较法（MABAC）相结合的系统评价方法。粗糙数是用来聚集个人的判断和偏好，以处理在决策过程中由于有限的数据的错误。粗糙层次分析法根据专家给出的评价指标的偏好，分析评价指标的相对重要性。Rough MABAC基于标准权重对备选站点进行评价。所提出的方法是解释通过案例研究考虑不同的城市在印度的医疗服务。通过Wang和Triantaphyllou（2008）提出的检验标准以及进一步的分析和讨论，建立了给定决策问题的排序的有效性。
英文摘要：
In this paper, a novel multiple criteria decision making (MCDM) methodology is presented for assessing and prioritizing medical tourism destinations in uncertain environment. A systematic evaluation and assessment method is proposed by integrating rough number based AHP (Analytic Hierarchy Process) and rough number based MABAC (Multi-Attributive Border Approximation area Comparison). Rough number is used to aggregate individual judgments and preferences to deal with vagueness in decision making due to limited data. Rough AHP analyzes the relative importance of criteria based on their preferences given by experts. Rough MABAC evaluates the alternative sites based on the criteria weights. The proposed methodology is explained through a case study considering different cities for healthcare service in India. The validity of the obtained ranking for the given decision making problem is established by testing criteria proposed by Wang and Triantaphyllou (2008) along with further analysis and discussion.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
